apify-scrape-google-jobslisted

# Scrape Google Jobs: Listings to Structured JSON Scrape Google Jobs into clean JSON with the Apify Google Jobs Scraper. Give it a job title and an optional location, and get one flat row per listing: title, company, source platform, full description, highlights, posting age, and direct apply links. ## When to use this skill - The user wants to scrape Google Jobs results (to JSON, CSV, a sheet, or a database). - They want openings for a role, company, city, or country as a dataset. - They want job listings for research, recruiting pipelines, or market scans. - They ask for a "Google Jobs scraper", "job scraper", or "job scraping". Not for: salary analytics (no numeric salary field), LinkedIn-only listings (use the LinkedIn Jobs API), or employer reviews (use the Glassdoor Reviews API). ## What you get (one row per listing) `title`, `company_name`, `location`, `via` (source platform), `description`, `job_highlights` (Qualifications, Responsibilities, Benefits), `extensions` (raw tags such as "Full-time", "3 days ago"), `detected_extensions` (`posted_at`, `schedule_type`, plus benefit flags such as `health_insurance` only when a listing advertises them), `apply_options` (per-platform title plus direct link), `job_id`, `share_link`. Run metadata includes `total_jobs_found` and `pages_processed`. ## Prerequisites - Apify account (sign up at https://apify.com?fpr=9n7kx3&fp_sid=skillrepo). - Authentication via `apify login`, or an `APIFY_TOKEN` environment variable (Apify C